Iris Feature Extraction based on Haar Wavelet Transform
To improve the accuracy of iris recognition system, the authors propose an efficient algorithm for iris feature extraction based on 2D Haar wavelet. Firstly, the iris image is decomposed by the 2D Haar wavelet three times, and then a 375-bit iris code is obtained by quantizing all the high-frequency coefficients at third lever. Finally they use similarity degree function as matching scheme. Experimental results on CASIA iris database show that their algorithm has the encouraging Correct Recognition Rate (CRR) which is only 99.18%, accompanying with very low Equal Error Rate (EER) 0.54%.